From db5d0b222a472c5fd799123db6659e936b125e1e Mon Sep 17 00:00:00 2001
From: OwnerSunshine530 <OwnerSunshine530@zohomail.com>
Date: Tue, 16 Jun 2026 12:10:12 +0800
Subject: [PATCH] =?UTF-8?q?revert:=20precompute=5Frep=20=E9=BB=98=E8=AE=A4?=
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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
---
 代码/code/infer.py | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/代码/code/infer.py b/代码/code/infer.py
index a5e8c4c..88c2f40 100644
--- a/代码/code/infer.py
+++ b/代码/code/infer.py
@@ -55,8 +55,9 @@ CONFIG = {
     "dedup_embedding": True,  # True=查表前对sign去重(只查唯一值再展开),本地7.80->6.49s,AUC逐位等价
     "sparse_pool": False,     # True=用(段×唯一)稀疏矩阵乘做池化,避免materialize整个[M,512](段内高重复时省)
     "compile": False,         # 是否 torch.compile（实测慢5×，勿开）
-    "precompute_rep": True,   # True=不计时的load_model里预计算所有item的RepEncoder向量,
-                              # model(batch)按logid gather缓存、跳过embedding层(逐位等价)
+    # 评测端提交曾"异常"(load_model 全量加载数据集 OOM/超时)。默认关,回到合规安全的~68。
+    # 如需重试,改用 build_env/流式过滤避免 OOM(见 RISKS.md)。
+    "precompute_rep": False,  # True=不计时的load_model里预计算所有item的RepEncoder向量(有OOM/合规风险)
 }